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<!DOCTYPE ArticleSet PUBLIC "-//NLM//DTD PubMed 2.7//EN" "https://dtd.nlm.nih.gov/ncbi/pubmed/in/PubMed.dtd">
<ArticleSet>
<Article>
<Journal>
<PublisherName>OICC Press</PublisherName>
<JournalTitle>Majlesi Journal of Electrical Engineering</JournalTitle>
<Issn>2345-3796</Issn>
<Volume>5</Volume>
<Issue>2</Issue>
<PubDate PubStatus="epublish">
<Year>2024</Year>
<Month>02</Month>
<Day>25</Day>
</PubDate>
</Journal>
<ArticleTitle>Spectrum Sensor Hardware Implementation Based on Cyclostationary Feature Detector</ArticleTitle>
<VernacularTitle></VernacularTitle>
<FirstPage></FirstPage>
<LastPage></LastPage>
<ELocationID EIdType="doi">10.1234/mjee.v5i1.355</ELocationID>
<Language>EN</Language>
<AuthorList>
<Author>
<FirstName>Vesa</FirstName>
<LastName>Turunen</LastName>
<Affiliation>Aalto University, School of Science and Technology, Department of Micro- and Nanosciences</Affiliation>
<Identifier Source="ORCID"></Identifier>
</Author>
<Author>
<FirstName>Marko</FirstName>
<LastName>Kosunen</LastName>
<Affiliation>Aalto University, School of Science and Technology, Department of Micro- and Nanosciences</Affiliation>
<Identifier Source="ORCID"></Identifier>
</Author>
<Author>
<FirstName>Sami</FirstName>
<LastName>Kallioinen</LastName>
<Affiliation>Aalto University, School of Science and Technology, Department of Micro- and Nanosciences</Affiliation>
<Identifier Source="ORCID"></Identifier>
</Author>
<Author>
<FirstName>Aarno</FirstName>
<LastName>PÃ¤rssinen</LastName>
<Affiliation>Nokia Research Center, Otaniemi, Espoo</Affiliation>
<Identifier Source="ORCID"></Identifier>
</Author>
<Author>
<FirstName>Jussi</FirstName>
<LastName>RyynÃ¤nen</LastName>
<Affiliation>Unknown</Affiliation>
<Identifier Source="ORCID"></Identifier>
</Author>
</AuthorList>
<PublicationType>Journal Article</PublicationType>
<History>
<PubDate PubStatus="received">
<Year>2024</Year>
<Month>02</Month>
<Day>25</Day>
</PubDate>
</History>
<Abstract>Cognitive radios utilize spectrum sensors to provide  information about the surrounding radio environment. This enables cognitive radios to communicate at the same frequency bands with existing (primary) radio systems, and thereby improve the utilization of spectral resources. Furthermore, the spectrum sensor must be able to guarantee that the cognitive radio devices do not interfere with the primary system transmissions. This paper describes a hardware implementation of a spectrum sensor based on cyclostationary feature detector, which has an improved detection performance achieved by decimation of the cyclic spectrum. Decimation also provides a simple way to control detection time and, therefore, allows trading the detection time to better probability of detection and vice versa. Implementation complexity in terms of power consumption and silicon area for a 65 nm CMOS process is evaluated. Measured detection performance is presented and detection of a 802.11g WLAN signal through air interface is demonstrated.</Abstract>
<ObjectList>
<Object Type="keyword">
<Param Name="value">Cognitive radio</Param>
</Object>
<Object Type="keyword">
<Param Name="value">Cr. Wireless</Param>
</Object>
<Object Type="keyword">
<Param Name="value">spectrum sensing</Param>
</Object>
<Object Type="keyword">
<Param Name="value">Technology</Param>
</Object>
<Object Type="keyword">
<Param Name="value">wireless communications</Param>
</Object>
</ObjectList>
</Article>
</ArticleSet>